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C9530-519 IBM API Connect v. 5.0.5 Solution Implementation

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C9530-519 exam Dumps Source : IBM API Connect v. 5.0.5 Solution Implementation

Test Code : C9530-519
Test Name : IBM API Connect v. 5.0.5 Solution Implementation
Vendor Name : IBM
: 74 Real Questions

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IBM IBM API Connect v.

Talevation Expands Strategic Partnership with IBM; increases Assessments choices and provides IBM Watson AI | killexams.com Real Questions and Pass4sure dumps

CARMEL, Ind.--(company WIRE)--Talevation® has extended their skill Assessments Platform (tap)™ to over 700 on-line talent assessments. tap is Talevation’s cloud-based, application-as-a-provider (SaaS) digital marketplace, the place clients can self-purchase and self-administer (in a personal and relaxed manner) validated talents and behavioral ability assessments throughout a broad latitude of job titles, classifications and behavioral standards. With the extent of ability assessments now available, Talevation also multiplied their strategic partnership with IBM®, and has now incorporated IBM Watson™ AI, to aid e-book clients in settling on the right assessments, for their unique situations.

Scott Abbott, Talevation Managing associate cited, “as a result of they have such an expansive portfolio of ability assessments - and that normal keyword search presents constrained consequences - they predicted that clients may also have problem touchdown on the excellent evaluation(s) or be aware of precisely which assessments to take. In response, they developed a chatbot named TAPbot™, that makes use of IBM Watson features to bring a guided journey. as an instance, TAPbot could imply taking the ‘records mining concepts’ assessment, when the consumer searches for ‘synthetic intelligence’. Or for a particular talents assessment, TAPbot could additionally recommend certain behavioral assessments, to enrich their potential. These connected however diverse assessments should be would becould very well be ones their consumer didn't firstly consider. Such self-discovery and help, is on the coronary heart of the tap adventure.”

apart from IBM Kenexa examine on Cloud™ and IBM Watson, faucet leverages other products and capabilities from the IBM Cloud™, together with: Alert Notification, API join, Assistant, Availability Monitoring, certificate supervisor, Cloudant, Cloud Foundry, Cloud features, Cloud Object Storage, continual birth, Discovery, herbal Language figuring out.

brought Abbott, “faucet provides probably the most huge and complete portfolio of self-service ability assessments in the market nowadays. And with the fresh addition of tap U!, their career services application for colleges, college students and recent or quickly-to-be graduates - we're excited that tap can help tens of millions of people earn, boost and keep lucrative employment.”

About Talevation: Headquartered in Carmel, IN - Talevation partners with IBM and IBM’s Kenexa talent Assessments - to deliver over 1,000 talents and behavioral ability assessments used to establish, frame, validate, measure, prove and substantiate the fit and proficiency of potential and current personnel. Talevation helps people and corporations of all sizes, take the guesswork out of their talent decisions: from hiring the appropriate people, to career building, and employee engagement. Talevation helps 4,000+ commercial enterprise areas, which jointly administer over one million individual abilities and behavioral checks, per thirty days.

For tips about tap and Talevation, discuss with www.talevation.com.

All enterprise and products are the registered emblems of their respective organizations.


IBM Inks VMware, GitHub, Bitly offers, Expands Apple Swift Use because it Doubles Down On The Cloud | killexams.com Real Questions and Pass4sure dumps

while a huge part of the cell business swirls around the streets of Barcelona, IBM is playing host at its own large InterConnect adventure in Las Vegas, where it unveiled a rush of offers that underscore one more foremost element of the increase of mobile: the rise of cloud functions. these days, IBM unveiled deeper partnerships with Apple, VMware, GitHub, Bitly and Siemens.

one by one, IBM also made some principal cloud announcements of its own protecting application, Watson APIs and app development by means of a new platform, Bluemix OpenWhisk, as massive Blue continues to reach for new-wave revenues to offset declines in its legacy enterprise.

Apple: IBM has been taking part with Apple due to the fact that 2014 on developing business mobility solutions together, however nowadays’s news focuses more on developer equipment, certainly Apple’s programming language Swift and IBM’s role in making it attainable in the cloud. this primary kicked off in December, when IBM introduced its Swift Sandbox after Apple open sourced Swift, making it the first cloud issuer to permit app development in Swift. That Sandbox is now used through over 100,000 builders and over half 1,000,000 code runs, IBM said nowadays. And now IBM is bringing this in conjunction with its better enterprise play with Apple, with preview of a Swift runtime and a Swift kit Catalog to create commercial enterprise apps.

“via bringing Swift past the customer to the server, IBM is breaking down limitations between entrance-conclusion and returned-conclusion building, that could provide organizations a single language to build prosperous experiences and lower back-conclusion enterprise logic,” the company says. This, IBM continues, raises construction speed and offers a extra relaxed toolchain for conclusion-to-end software building.

VMware. This deal is a stream through IBM to prolong into extra hybrid cloud features, but additionally perhaps a movement through VMware to extend extra in its cloud capabilities partnerships with other events within the wake of alternative tendencies, in particular regarding EMC.

IBM says that organizations that use VMware applied sciences — which covers very nearly one hundred% of the Fortune 100 — can now run functions on 45 IBM Cloud statistics centers globally in a seamless manner. capabilities lined, IBM says, include pre-configured VMware SDDC environments — VMware vSphere, NSX and virtual SAN on the IBM Cloud, and IBM will additionally now enhance and market new hybrid cloud features protecting workload migrations, disaster recovery, capacity expansion and information center consolidation. 

As with Apple, IBM working with VMware is not completely new. “This partnership, an extension of their 14-yr plus relationship with IBM, demonstrates a shared imaginative and prescient that will aid commercial enterprise consumers extra straight away and easily embody the hybrid cloud,” mentioned Pat Gelsinger, CEO of VMware.

however, this was specially a reseller agreement prior to now. these days’s news is the primary strategic partnership between VMware and IBM Cloud. “This partnership allows each side to sell and go to market in conjunction with a mixed solution. On the product side, this partnership enables us to convey the full stack of administration tooling as a provider in SoftLayer. We’ve had tactical relationships round reselling VMWare application for years. here's a strategic partnership with joint building and go-to-market globally,” Damion Heredia, VP of Cloud Platform & Product management at IBM, informed TechCrunch.

different partnerships introduced these days consist of a GitHub deal, by which IBM will present a dedicated GitHub business event by the use of its Bluemix cloud platform, laying the groundwork for collaborative coding. And Bitly spoke of that it might be migrating 25 billion links made by way of its link shortening carrier to IBM’s cloud. and eventually, Siemens and IBM noted they will work together on power efficiency options in order to collect IBM’s IoT capabilities with Siemens energy and sustainability platform.

apart from these partnerships, IBM these days additionally unveiled some traits of its own on the cloud front.

This included a new set of functions that IBM is calling its Cloud Connectors, enabling builders to greater without problems hyperlink up functions in the cloud, “no matter if they are on the cloud or now not.” These consist of WebSphere join, API join, MQ connect, DataWorks, z/OS join business edition, and WebSphere Blockchain join. 

The company additionally put three new Watson synthetic intelligence APIs into beta — Tone Analyzer, Emotion evaluation and visual cognizance — are actually attainable in beta, and it has expanded the present text to Speech API with emotion and re-releasing it as “Expressive TTS”. in case you’ve considered demonstrations of IBM’s Pepper robot, you could see probably the most company’s ambitions to add greater empathy and emotion to machines to make them extra human-like, and this is a continuing building on that entrance. 

ultimately, IBM is also trying to create a extra simplified atmosphere for software construction — and peculiarly experience responses — with the launch of IBM Bluemix OpenWhisk. here's very much part of IBM’s internet of things play: examples of microservices that might be blanketed on this platform consist of mouse clicks or sensor statistics from a camera: when an adventure happens, IBM says, the code is done. “developers needn't worry about issues like pre-provisioning infrastructure, reminiscent of servers or operations – they can conveniently focus on code, dramatically dashing up the technique.” IBM says any customized code put in a Docker container may also be run.

not one of the above information got here with particulars about pricing. As they have stated before, the enterprise has seen 15 straight quarters of earnings decline now, and whereas revenue in new areas like cloud proceed to grow, it’s now not yet satisfactory to offset declines in its bigger legacy company round servers and on-premise features. even if that capacity that long term, large Blue might also emerge as more of, neatly, a Medium Blue, for now the enterprise is a whole lot too big no longer to be counted. It’s partnering with so many other businesses and launching capabilities of its personal are indications of the way it is firing on all cylinders to turn the ship and bring its IT dealflow with it.


IBM Bluemix PaaS a powerful contender against AWS | killexams.com Real Questions and Pass4sure dumps

As IBM appears to battle Amazon internet services for cloud computing supremacy, it brings an extended heritage to the table,...

but its most promising method thus far may additionally lie in its latest endeavors.

IBM's method thus far has been promoting infrastructure as a provider to enterprises and C-level executives, however platform as a service (PaaS), where IBM presents Bluemix PaaS in line with Cloud Foundry, may be the next battleground, trade observers observed.

"there is been a big switch of vigor from CIOs to builders," pointed out Joe Emison, founder and CTO at Asheville, N.C.'s BuildFax, which keeps a countrywide database of one hundred fifty million constructing allows for based on Amazon web features (AWS) cloud. "the rest builders prefer that they say allows for them to bring stronger utility more promptly is going to win."

Cognitive computing and the Watson API

IBM SoftLayer purchasers and enterprise partners are smitten by constructing to IBM Bluemix PaaS APIs, most certainly the API that may connect purposes to IBM's Watson for cognitive computing, also called laptop getting to know.

For Eric Swayne, director of product and approach for MutualMind, Dallas-primarily based application as a service social analytics platform company, the Watson API is the most well-liked venture his company is working on.

The indisputable fact that they're taking a stance and asserting, 'sure you could have this on-premises,' is going to start to damage AWS, as a result of as a good deal as AWS makes the case that anything else and everything will also be run in the public cloud, there are lots of organizations that don't purchase that. James Statenanalyst, Forrester analysis

MutualMind tracks and reports on social media, and sentiment and personality analysis from Watson can be a large addition to the platform, Swayne spoke of.

"we will roll Watson's personality insights into their rules engine, with a purpose to birth asking questions like, 'if sentiment is terrible and this particular person is open to exchange,' then I could in fact take a unique motion as a result of i do know extra about their character," Swayne referred to.

IBM is a little bit forward of the market with the Watson API, which is at present in beta. Microsoft and Google remain in the research phases with their personal cognitive computing/laptop getting to know items. Amazon has a set of products with machine getting to know points, such as Elastic MapReduce, and third-birthday party computer discovering products in its industry, however no direct equivalent.

"Having a synthetic Intelligence system obtainable this is first in the market is a sensible aspect to do, as a result of expectantly you're going to get a bunch of americans using it and making Watson smarter," observed Tom Luczak, CTO for movement Corp., which is additionally integrating its records analytics application with Watson as part of the beta application. 

Cloud Foundry and Bluemix

The Watson API is just one a part of an IBM Bluemix PaaS offering it truly is confirmed promise, analysts pointed out.

Bluemix is in keeping with Cloud Foundry, an open-source platform first developed with the aid of VMware and now managed through EMC/VMware spinoff Pivotal, which began a foundation to manipulate Cloud Foundry ultimate yr.

but IBM is working to make Cloud Foundry its own, in response to James Staten, analyst with Forrester analysis, Inc., primarily based in Cambridge, Mass.

"IBM sits in a stunning titanic leadership position on the groundwork's board and they very strongly intend to pull Cloud Foundry their route," Staten observed.

one of the vital things IBM is pushing for is core features that make up Cloud Foundry these days, such as the Tomcat Java internet server and RabbitMQ message queuing system to be interchangeable with IBM's WebSphere application Server and its personal message queuing equipment. 

"This may be truly interesting because it performs out," Staten talked about.

IBM has the skills to unite its large on-premises WebSphere client base with the cloud in Bluemix, which might put it in a powerful position on hybrid cloud, Staten said.

"The proven fact that they're taking a stance and announcing, 'yes, that you would be able to have this on-premises,' is going to start to damage AWS, as a result of as a lot as AWS makes the case that anything and everything can be run in the public cloud, there are loads of firms that don't buy that,” Staten pointed out.

although, Cloud Foundry can run on AWS as well, if valued clientele need. As can a few other unbiased PaaS structures, corresponding to Engine Yard, Heroku and CloudBees.

"all of them run on AWS, which generates revenue for AWS on the end of the day," Staten observed.

To counter IBM's moves in PaaS, Amazon will even have to curate its many discrete utility functions right into a extra cohesive providing for builders, Staten talked about.

because the market strikes into the second stage of cloud adoption, where extra coders who don't wish to do the infrastructure side and swift builders who need visible equipment are joining the fray, they could be overwhelmed by means of the plethora of discrete AWS capabilities, Staten observed.

but the first signs this curation is coming from Amazon may also be viewed within the Cognito mobile platform, in response to Staten.

"that's been very smartly acquired with the aid of developers building cellular apps," Staten noted.

Beth Pariseau is senior news creator for SearchAWS. Write to her at bpariseau@techtarget.com or comply with @PariseauTT on Twitter.


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Relation of Middleware to Microservices, Docker, and Cloud-Native Architectures | killexams.com real questions and Pass4sure dumps

The IT world is moving forward fast. I wrote about Microservices and whether that spells the death of the Enterprise Service Bus and other middleware a year ago. This article is a “follow-up” and update to discuss how relevant microservices, containers, and a cloud-native architecture is for middleware. It is unbelievable how fast enterprises of all sizes are moving forward with these topics!

Today, in June 2016, many enterprises have already adopted containers and cloud-native architectures or are adopting them. This topic is also getting more and more relevant for middleware vendors. Therefore, let’s do an update about the status quo of microservices, containers, and cloud-native architectures in the middleware world.

Key takeaways of this article:

  • A cloud-native architecture enables flexible and agile development, deployment, and operations of all kinds of software
  • Modern middleware leverages containers, microservices, and a cloud-native architecture
  • Packaging and isolation in containers is not enough, there are many more concepts to understand and leverage
  • The Momentum of Microservices and Docker

    The main goal of microservices and containers is a shorter time to results and increased flexibility for development, deployment, and operations of software. Why has it received so much momentum in the last few months? Because almost any enterprise beyond tech giants such as Amazon, Google, Facebook, or Netflix struggles here significantly.

    Microservices is like a Service-oriented Architecture (SOA): It is an architectural concept and vendor respectively technology independent. Therefore, no clear standard definition or specification is available. You always need to define what you mean with the term microservices before you discuss it with others. Everybody has a different definition. For this article microservices are services that are developed, deployed, and scaled independently. They are not specific to any technology and can offer business or integration logic. Several vendors offer specific support for building microservices (as they will see later in the article) but basically it is not related to any technology.

    While the discussion about microservices architectures started with a famous article by Martin Fowler back in 2014 the actual widespread implementation was intially started by Netflix which open-sourced plenty of frameworks for implementing microservices. They will come back to many of these later, and a lot of the content in the article is inspired by Netflix’ awesome and detailed tech blog posts.

    A Container is dependent on the operating system it runs on. Containers use the resource isolation features of the Linux kernel such as kernel namespaces (isolates an application’s view of the operating environment including process trees, network, user IDs and mounted file systems) and cgroups (provides resource limiting, including the CPU, memory, block I/O and network), and a union-capable file system such as aufs and others. This allows independent containers to run within a single Linux instance, avoiding the overhead of starting and maintaining virtual machines.

    Key differentiators of containers compared to VMs are packaging, portability, created as fit for purpose and therefore lower footprint and startup times, repeatability, better resource utilization of servers, and better integration into the whole development ecosystem (such as Continuous Integration/Delivery lifecycle). Containers with your applications can be built, ship, and run anywhere: on your laptop, on test systems, in pre-production, and in production systems. This is all without changes to any content of the container and the application inside.

    In contrary to microservices, there are several specific implementations of container software. Most of the momentum these days is behind Docker. Its ecosystem is growing daily. This will definitely consolidate again in the coming years, but it will also become much more mature than it is today. Other examples for container technologies are CoreOS’ rkt (Rocket) or Cloud Foundry’s Garden / Warden. Notice that all these container concepts are nothing new, but leveraged in UNIX systems for years, for example, take a look at Solaris Zones.

    Other commercial examples are VMware Photon Platform / vSphere Integrated Containers or Microsoft’s Windows Server containers / Hyper-V containers or VMware Thinapp.

    A great introduction to Docker—and containers in general—can be found here: Docker, the Future of DevOps. "The Open Container Initiative (OCI)"—an Open Standard for Containers—was created in mid-2015 to establish a global, vendor-agnostic standard. Many software vendors are part of the committee, including Amazon, Intel, Docker, Facebook, IBM, Microsoft, Oracle, Pivotal, and VMware, to name a few of the many official supporters.

    A Cloud-Native Architecture

    Microservices and containers with their independent services and flexible deployment are just the foundation. The following sections discuss additional requirements for a cloud-native architecture. Please be aware that a lot of examples for available frameworks are listed in every section but they are not intended to be complete lists.

    A cloud-native architecture enables:

  • Scalable services
  • Resiliency
  • High uptime
  • Automatic load balancing and failover
  • DevOps
  • Usage of public cloud platforms but also private or hybrid
  • Vendor-agnostic deployment
  • Faster upgrades
  • Higher utilization and lower infrastructure cost
  • Shorter time to results and increased flexibility
  • With all this you can focus on innovation and solving your business problems instead of spending your time with plenty of technical issues in ”static and inflexible legacy architectures”. Be aware that cloud-native does not mean that you can deploy software just in the public cloud. Private or hybrid cloud deployments are also contained in the definition of cloud-native!

    Continuous Integration and Continuous Delivery

    Continuous Integration (CI) and Continuous Delivery (CD) require a lot of different things to automatically build, deploy and run microservices. This includes scripting for automatic test and deployment, internal and external service discovery and distributed configuration of microservices and containers.

    Scripting / Automatic Test and Deployment

    This is what CI / CD began with several years ago. You build, test and deploy services automatically. This improved productivity, efficiency, and product quality. The following frameworks and tools are used to create scripts for enabling CI / CD:

    Service Discovery

    We have to work with plenty of different independent services and a huge number of distributed instances of each service. An internal service discovery framework is used to locate services for the purpose of load balancing and failover. Therefore, a service provider registers to the registry when it is available. Consumers discover the service from the registry to be able to connect and consume it.

    A lot of options are available for using a service registry, such as Netflix’ Eureka, Apache Zookeeper, Consul, Etcd. Many of the later discussed frameworks also include a service registry implicitly. It is not always easy to classify each of the frameworks in this article for just one component. Often the features are overlapping.

    In addition to an internal service discovery, an external service discovery framework is used to expose internal microservices to the outside world (which can be the public internet, just partners or other internal departments). This is often called an “Open API initiative” or “API Management” and offers features such as a portal for easy packaging and self-provisioning of APIs (i.e. microservices in this case), monetization and a gateway for security enforcement (e.g. authentication, authorization, throttling). Some relevant options for API Management are:

  • JBoss apiman: Open source, low-level coding framework, can leverage other Red Hat JBoss projects
  • Apigee: Pure player in the API Management market
  • Akana (former SOA Software): Pure player in the API Management market
  • CA’s Layer7: Strong security gateway, can leverage other CA products
  • TIBCO’s Mashery: Strong portal and community, can leverage other TIBCO products, including TIBCO API Exchange Gateway for advanced security and routing requirements
  • See the following article for more details about use cases and product categorization for “Open API”: API Management as a Game Changer for Cloud, Big Data, and IoT.

    Dynamic Distributed Configuration Management

    Numerous agile and dynamic changes in a cloud-native architecture demand that you cannot manage configuration manually anymore when adopting distributed microservices and containers. Services are designed to fail, respawn and get updated frequently. Therefore, you need automated configuration to setup new containers on distributed nodes quickly and automatically. Some required features:

  • Make changes dynamically at runtime (e.g. change service behavior, database connection or log level of a specific instance)
  • Change multi-dimensional properties based on a complex request or deployment context
  • Enable / disable features based on the request context (e.g. display of a specific user interface for a specific region or device)
  • Change behavior of cloud design patterns (see the later section “Resiliency Design Patterns”)
  • Two relevant frameworks for dynamic distributed configuration management are Netflix’ Archaius and Spring Cloud Config. These frameworks use polling and callback mechanisms for dynamic configuration as the traditional push concept (to specific IP addresses and hosts) does not work in elastic and ever changing cloud-native environments.

    Scalability and Failover

    A key feature of a cloud-native architecture is the ability of elastic scaling depending on load and SLAs. This requires advanced cluster management, server-side and client-side load balancing, and resilient design patterns.

    Cluster Management (Scheduling and Orchestration)

    Flexible development and deployment is a key advantage of microservices and containers. New features are added and old ones pruned. Zero-downtime and failover are required but you also need efficient usage of your resources.

    A cluster manager is designed for failover and high scalability. It is used to automatically orchestrate container scheduling and managing hosts including the application of rules and constraints to each host.

    Various cluster management frameworks are already available especially for Docker. The following examples are some of the most relevant (and discussed in more detail here):

  • Docker Swarm: A Docker-native framework, uses the Docker API, can easily leverage other Docker frameworks such as Docker Compose, it has to be combined with other frameworks such as etcd, Consul or ZooKeeper
  • CoreOS Fleet: Low-level framework built directly on systemd, often used as “foundation layer” for higher-level solutions
  • Kubernetes: Open sourced by Google and adopted by many other companies including IBM, Red Hat and Microsoft. Kubernetes is a great mix of sophisticated features and relatively simple installation / configuration. In contrast to some other sophisticated cluster managers you can even set it up on your local machine for development with just a single “Docker run” command. If you install it on a cloud platform it leverages the platforms specific features, for example on AWS it uses Amazons ELB while it leverages Googles LB on Google Cloud Platform.
  • Mesos’ Marathon: An orchestration framework on top of the powerful (but complex) Apache Mesos, a “distributed systems kernel.” Mesos is intended for large scale and multi-use of different frameworks on top of it (e.g. Apache Hadoop, containers via Marathon, batch processing via Chronos).
  • Load Balancing (Server-side and Client-side)

    Servers come and go in a cloud-native architecture. Load balancing needs to become much more sophisticated (and therefore complex) with microservices and containers. Just distributing load based on well-known IP addresses and hosts is not sufficient anymore. Concepts such as weighted load balancing based on several factors like traffic, resource usage or error conditions provide superior resiliency.

    Traditional server-side load balancing is used for years to distribute network or application traffic across a number of servers and to increase capacity and reliability of applications. Well-known examples are F5’s Big-IP products or Amazon AWS Elastic Load Balancing (ELB) service. They are used for so-called edge services i.e. external service consumers respectively end-user web traffic.

    In addition, many microservices architectures include client-side load balancing to avoid unnecessary inter-service communication. Therefore frameworks such as Netflix Ribbon “embed” the client-side LB into each microservice. This reduces the communication to one hop instead of two hops for service communication between internal microservices, so-called mid-tier or core services.

    Resilience Design Patterns

    All the new concepts for a cloud-native architecture require new design patterns to offer a general repeatable solution to commonly occurring problems. Resilience design patterns prevent cascading failures, allow failing fast and recover rapidly by implementing logic for latency tolerance, fault tolerance, and failback logic.

    One of the most well-known patterns is the Circuit Breaker which is used to detect failures and encapsulate logic for preventing a failure to reoccur constantly (during maintenance, temporary external system failure or unexpected system difficulties). The Akka framework has a nice explanation and implementation of this pattern. Netflix Hystrix also offers sophisticated implementations to enable latency and fault tolerance in distributed systems. “Application Resiliency Using Netflix Hystrix” is a great post by the Ebay Tech Blog explaining how they leveraged it to realize cloud patterns.

    There are plenty of cloud patterns emerging (and more will come in the future). For example, the Kubernetes Tech Blog explains “Patterns for Composite Containers” such as “Sidecar Containers,” “Ambassador Containers,” or “Adapter Containers”.

    Container Solution Stacks

    As you have seen in the above sections, there are plenty of frameworks and tool chains available. The number is growing every month. This might remind many readers of Apache Hadoop and its unbelievably growing ecosystem with mature and less mature frameworks. The same is true for containers today. Therefore some “solution stacks” are emerging to help getting started and managing all the different challenges with one single (and commercially supported) container stack—well known as “distribution” in the Hadoop environment. Examples for container solution stacks are Tectonic (a Kubernetes + CoreOS Platform), Docker Datacenter, Mantl or HashiCorp’s Nomad. More will probably arise in the next months.

    We have now discussed several concepts, frameworks, and patterns to realize a cloud-native architecture leveraging containers and microservices. However, you also need some kind of cloud platform where you deploy and run all this on.

    Private, Public, or Hybrid Cloud-Native Platform

    A cloud-native platform is a private, public or hybrid cloud which offers a self-service and agile cloud infrastructure (Infrastructure-as-a-Service, IaaS). On top of a cloud infrastructure, you need a platform (Platform-as-a-Service, PaaS) where you can deploy and run your containers. The following picture shows the key characteristics of both:

    image

     

    Most enterprises select available mature offerings such as Amazon Web Services, Microsoft Azure or open source OpenStack for IaaS and PaaS platforms such as Red Hat’s OpenShift (which is based on Docker and Kubernetes) or Cloud Foundry (offered open source and enhanced by several vendors such as IBM with Bluemix or Pivotal).

    The key advantage of using an existing PaaS platform is the out-of-the-box support for most requirements of a cloud-native architecture such as elastic scalability, container orchestration, dynamic service discovery, load balancing, or dynamic distributed configuration management. Thus, you should evaluate different PaaS platforms before deciding to build your own one based on all the different frameworks discussed above. Most platforms leverage one or the other of these frameworks implicitly.

    After discussing all the requirements and available frameworks for a cloud-native architecture in much detail let’s now take a look at how all this is related to middleware.

    Relation to Middleware (Integration, API Management, Event Processing)

    Before going on, I have to clarify: Microservices, containers, and cloud-native architectures are not suitable for all scenarios. Remember: These introduce a lot of new concepts and complexity. “Microservices are not a free lunch”!

    I will focus especially on integration platforms in the following paragraphs because integration is key for success in most middleware projects. Due to trends such as cloud, mobile, big data and Internet of Things you cannot survive without good integration in IT architectures.

    An Enterprise Service Bus (ESB) is used in many enterprises as a strategic integration platform between custom applications, commercial-off-the-shelf software, legacy applications, databases, and cloud services. However not every ESB deployment needs to be cloud-native. In mission-critical deployments at banks, retailers, airlines, telcos, and others a central ESB with high performance, high availability, and fault-tolerance might still be the best choice for the next few decades.

    On the other hand, an ESB is not the complex, central and heavyweight beast you might think of. This might have been true 5 to 10 years ago (and one of the reasons several SOA projects failed that time) and it might still be true for some vendors today. But in general (and valid for many vendors) an Enterprise Service Bus in 2016 is a mature, stable and easy to use component, which should offer:

  • Integration
  • Orchestration and Choreography
  • APIs and Business Services
  • Messaging
  • Independent Deployments
  • Scalable and Lightweight Platform
  • Automation
  • Based on your requirements you should be able to decide how cloud-native you need to be and if you should leverage microservices and containers (and all their pros and cons) or not. Select only the concepts, tools and features you really need.

    Middleware Examples

    Having said that let’s take a look at a few different middleware examples and how you might leverage microservices, containers and a cloud-native architecture for them:

  • Integration: Build (micro)services and APIs using the integration capabilities of the ESB; integrate and orchestrate different (micro)services (build composite services)
  • API Management: Expose, publish and monetize microservices internal or to partners and the public world via APIs.
  • Event Processing: Correlate distributed microservice events in real time to add business value (e.g. fraud detection, cross-selling or predictive maintenance)
  • All the above middleware components

  • Require agility and flexibility
  • Control and leverage other microservices
  • Have to support microservice characteristics itself (containers, CI / CD, elastic scalability, etc.) to fit into a cloud-native architecture and to allow quick changes
  • Let’s come back to the example of integration platforms and the ESB. If you need a more flexible, cloud-native integration solution instead of a classical, more central ESB deployment then you have three options (but do not care about the branding or shortcut of the product name):

    Integration Middleware on Top of a PaaS

    This is very similar to an on-premise ESB and used for implementing “core services” i.e. central, often complex and mission-critical services. Development is done in the traditional IDE. However, the key difference is that the solution is cloud-native i.e. it supports containers and microservices. You use this kind of integration middleware to develop integration applications that are deployed natively onto a PaaS platform such as Cloud Foundry or OpenShift. Some vendors offer a vendor-agnostic solution where you can deploy your integration applications anywhere without relying on a specific cloud platform or vendor.

    You can develop different “cloud-native services” to be more agile, change quicker, and provide web scale:

  • Integration Apps and Services: Build consumable Web APIs out of backend web services like ERP, CRM, order management using enterprise technologies like SOAP, SAP, Oracle, IBM MQ, etc.
  • Functional Microservices: Build apps focusing on business functionality without getting into code complexity
  • API Choreography Services: Visually choreograph APIs leveraging the PaaS integration tooling (e.g. process orchestration, data mapper or connectors)
  • There are not many alternatives available on the market for building integration applications that are deployed natively onto a PaaS platform. TIBCO BusinessWorks Container Edition is a vendor-agnostic example supporting CloudFoundry, Docker, Kubernetes, AWS ECS, etc. JBoss Middleware Services allows the deployment of its middleware applications (including JBoss Fuse and A-MQ) onto OpenShift.

    Cloud Integration Middleware (iPaaS)

    An iPaaS Cloud Integration middleware is cloud-based, uses a web browser instead of a desktop IDE and supports the execution of integration flows, the development and life cycle management of integrations, the management and monitoring of application flows, governance and essential cloud features such as multi-tenancy, elasticity, and self-provisioning. iPaaS can work closely together with an on-premise ESB or integration middleware on top of a PaaS platform.

    iPaaS tooling offers intuitive web-based integration and is intended for people with some technical understanding e.g. how to create and deploy REST services or to configure connections and policies of Open APIs. It is usually used to build “edge services”, sometimes also called “microflows” which might change more frequently and which are often not that mission-critical.

    Some examples for iPaaS solutions are Dell Boomi, Informatica Cloud, MuleSoft Anypoint Platform, SnapLogic, Jitterbit, or TIBCO Cloud Integration.

    A more detailed overview including the pros and cons of iPaaS can be found here: “iPaaS: What this cloud technology is and why it’s important”.

    SaaS Cloud Integration Middleware (iSaaS)

    This kind of SaaS solution offers an intuitive web-based user interface for the business user i.e. the “Citizen Integrator” to realize personal integration without technical knowledge according to the do-it-yourself (DIY) principle. Citizen Integrators build new integration flows by configuring them rather than developing and building them from scratch. For instance, a business user creates an automatic flow to synchronize his data via self-service from SaaS offerings such as Salesforce or Marketo and his Microsoft Excel sheets.

    iSaaS integrations are clearly complementary to on-premise, PaaS and iPaaS integrations. They should also be viewed as “edge services” which are not strategic and mission-critical for the enterprise–but very relevant for the specific business user. Examples for iSaaS solutions are SnapLogic, TIBCO Simplr, or IFTTT.

    Hybrid Integration Platform (HIP)

    A key for success is that you can transfer content across different platforms. Gartner calls this a Hybrid Integration Platform (HIP). Different components share metadata, one single IDE, and consolidated operations management. Out-of-the-box integration capabilities with API Management components (API gateway and portal) are also very important for agile development, deployment, and operations.

    For example, you might want to develop an orchestration service with a PaaS-based integration solution and want to port that to an on-premise integration platform later. Or you might want to define a REST service (via “contract first principle”) with an iPaaS middleware with a mock for early testing and later implement it on an on-premise ESB. The same service also needs to be exposed via an API to partner or for public access.

    Some more Middleware Frameworks and Vendors

    Finally, I want to highlight some other frameworks and vendors, which might be relevant for realizing your cloud-native microservices but were not mentioned in the article yet:

  • WSO2 Microservices Framework for Java is a good example for a low-level coding framework based on top of the vendors open source middleware.
  • Amazon EC2 Container Service (ECS) and Google Container Engine are two examples of “Containers as a service (CaaS)” offerings which allow self-service usage of containers as SaaS solution
  • Cloud vendors such as Amazon, Microsoft, or Google are also middleware vendors in the meantime. For example, Amazon AWS offers services for cloud messaging (SQS and others), streaming and analytics (Kinesis), containers (ECS), microservices (Lambda) and more.
  • Plenty of other middleware vendors also work on cloud-native offerings. For more details see e.g. Software AG Cloud, Talend Integration Cloud, or Oracle Cloud Platform.
  • Middleware for the Internet of Things (IoT) is another sector which grows significantly these days. For example, take a look at open source integration solutions such as Node-RED (based on js, open sourced by IBM) or Flogo (based on Google’s Go Programming Language, to be released and open sourced by TIBCO very soon). Both offer a zero-code environment with web IDE for building and deploying integration and data processing directly onto connected devices using IoT standards such as MQTT, WebSockets, or CoaP.
  • Finally, I would like to mention The Cloud Native Computing Foundation (CNCF) which might become much more relevant in the future for plenty of frameworks discussed in this article. The CNCF was founded to help facilitate collaboration among developers and operators on common technologies for deploying cloud-native applications and services built on containers. Founding members included Google, Cisco, IBM, Docker, and VMware. The first two projects hosted by CNCF are Kubernetes and Prometheus.

    Microservices, Containers, and Cloud-Native Architectures Do NOT Fit into Every Project…

    … but they have a huge influence on their thinking about IT architectures. In many new projects, these concepts absolutely make sense and create a lot of benefits such as flexible development, deployment, and operations. Think about the trade-offs and leverage the parts of a cloud-native architecture which make sense for your project. Modern middleware will leverage microservices, containers, and cloud-native architectures! No matter if you take a look at Integration, API Management, Event Processing, Streaming Analytics, Business Process Management, or any other kind of on-premise or cloud middleware.

    Thanks for reading this extensive article. I think it is very relevant for all of us, no matter if you implement custom applications or leverage middleware in your projects. As always, I appreciate any feedback and discussions via Comment, Email, Twitter, or LinkedIn.

    By the way: The content of this article is also discussed in a slide deck which I first presented in April 2016 at JPoint in Moscow, Russia:

    Microservices, Containers, Docker and a Cloud-Native Architecture in the Middleware World from Kai Wähner


    Microsoft's Hybrid Cloud Strategy | killexams.com real questions and Pass4sure dumps

    In-Depth

    Microsoft's Hybrid Cloud Strategy

    Microsoft is building a stronger bridge between Windows Server and Microsoft Azure, but it'll also manage AWS, VMware and OpenStack infrastructure and services.

    Early visions of cloud computing saw a day when enter­prises could deploy applications and business services without the need for any datacenter compute, storage and application infrastructure. Back in 2006, Sun Microsystems Inc. introduced the Sun Cloud Compute Utility, comprised of computing for $1 per CPU hour. Obviously, the Sun offering never gained traction, but it arrived around the same time Amazon.com Inc. launched its Amazon Web Services Inc. (AWS) cloud business, which of course upended the traditional datacenter business and created the beginning of today's public cloud services market.

    It's perhaps no coincidence Amazon.com never had a software or hardware business to protect. Along with its stomach for razor-thin margins, the company delivered the first sustainable utility compute and storage services. While removing the datacenter is still a pipedream for most established enterprises (many would argue it would be a nightmare), cloud computing has very much taken root in varying forms and scope.

    Now cloud technology is undergoing another significant shift in its evolution and Amazon.com's key competitors are hoping what was once an AWS strength -- no legacy business to protect -- will become a weakness, or at the very least help level the playing field. Key infrastructure and application platform providers are developing new software-defined, hybrid cloud infrastructure and services aimed at functioning as the control plane of the datacenter. Among them, Microsoft, VMware Inc., and Citrix Systems Inc. are readying hybrid cloud platforms that enable the use of public and private clouds to build, manage, and provision IT services and deliver applications as a service, even as companies stick to keeping core components -- notably data -- on-premises.

    The cloud control planes are the latest effort to bridge the on-premises datacenter with public infrastructure and platform services. It appears they're built with the realization no organization is going to use solely one public cloud to procure infrastructure and applications. The growing shift to Software as a Service (SaaS) and modern apps designed for traditional and mobile device types is expected to compel many organizations to use multiple cloud providers to deliver, secure and manage user access to system resources apps and data. The emerging cloud control planes will let IT do so whether employees are using traditional computers, remote desktops, virtual applications or by accessing modern apps from any device.

    Certainly Citrix, Microsoft and VMware aren't the only ones building these new bridges from software-defined datacenters to next-generation public clouds. But when it comes to managing Windows client and datacenter infrastructure, all three will offer major new capabilities to consider.

    Revamping the Microsoft Cloud OSFor its part, Microsoft three years ago tried to provide a more consistent platform between Windows Server and Azure with its Cloud OS consisting of Windows Server 2012, System Center 2012 and the Windows Azure Pack. The latter was designed to put an Azure-like veneer on Windows Server. Though a major step forward, the Azure cloud and Windows Server 20012 (and the R2 release), aren't one and the same. Furthermore, Azure and other public clouds have evolved substantially in three years. Consider back in 2012 the Microsoft cloud service was still called Windows Azure -- now it's Microsoft Azure. While the move sounded superficial when Microsoft first announced the change, it has become clearly apparent why Microsoft renamed the service. Azure is not just a Windows-based cloud service.

    At its recent Build and Ignite conferences, and the months leading up to those events, Microsoft has outlined planned upgrades to the Azure cloud, which include the Azure Service Fabric. "Service Fabric is a high-control, distributed computing framework," said Scott Guthrie, Microsoft's executive vice president for Cloud and Enterprise, speaking during the Build keynote. "We created it to power their own high-scale cloud services, and we've battle-hardened it over the last several years under extreme loads and super-demanding requirements. It supports the ability to create cloud services composed of both stateless and stateful micro-services. And it has support for hyper scale-out deployments, self-healing and core management, as well as the orchestration of code updates."

    Along with that announcement, Microsoft made available the Service Fabric SDK for both Windows and Linux systems. "In addition to supporting Azure, you'll also be able to use it to build great solutions that run in a multi-cloud environment," Guthrie said. Microsoft released Azure Service Fabric on the heels of the release of the Azure App Services, which consist of Web, mobile, BizTalk connectivity and APIs that Microsoft claims easily integrate with SaaS and on-premises systems.

    "API Apps allow you to take any existing API, whether it's an API in the cloud or an API on-premises, and project that into App Service adding some simple metadata," explains Omar Khan, Microsoft's director of Azure Engineering. The BizTalk connectors provide the links between on-premises and SaaS apps, he adds. "We have virtual networking in Azure that allows you to connect on-premises resources to the cloud. They also support hybrid connections which is a BizTalk capability that allows you to do app-to-app connection across firewalls. So these API Apps and the Oracle connector or the SAP connector, among others, utilize those connectivity options in Azure to connect to the on-premises resources and then there's a connector piece that you can run on-premises that connects to that API App."

    "Service Fabric is a high-control, distributed computing framework. They created it to power their own high-scale cloud services, and we've battle-hardened it over the last several years under extreme loads and super-demanding requirements."

    Scott Guthrie, Executive Vice President, Microsoft Cloud and Enterprise Group

    Operations Management SuiteMeanwhile, Windows Server 2016 promises to be more Azure-like than its predecessors.

    Interestingly, Microsoft hasn't, at least yet, talked up the notion of migration from AWS, VMware and others, but rather has come up with a model that embraces coexistence. Microsoft plans to do this with several new offerings that'll start to appear later this year, such as the new Operations Management Suite (OMS), a new offering intended to provide hybrid cloud management -- and not just for managing Azure. The Web-based console provides deployment, management and integration of public cloud and datacenter services running in AWS, Linux, VMware and OpenStack. OMS integrates with Microsoft System Center, but doesn't require it.

    "It gives you that any cloud, any OS, any application and you get orchestration," said corporate VP Brad Anderson, in the keynote presentation at the company's Ignite conference back in May, where he announced OMS. "You get application availability. You get disaster recovery and backup. And you get all of that capability -- again, virtual, physical, public cloud, private cloud, VMware, Hyper-V -- all in one pane of glass."

    OMS will consist of various "solution packs" such as malware assessment, system update, change tracking and run book automation, among others, and will use analytics to gather log files and correlate them. These solution packs have "ready-made intelligence" that Microsoft has built that utilizes knowledge from all the log files and analytics data Microsoft has collected, explained Jeremy Winter, Microsoft's principal group manager for System Center and Services, who discussed OMS during an Ignite press briefing.

    "Whether it's running on-premises, or sitting in another cloud infrastructure like Amazon or Azure, this is really where we're taking management and making sure that you have that hybrid view in there," Winter said. "It's not something separate, as a separate thing, they think management needs to be brought back together and hybrid should just be part of your overall management." To extend the ability to monitor infrastructure enabling visibility at the transaction level, Microsoft last month acquired BlueStripe Software, an application performance management software provider. Microsoft said it would "discontinue selling the solution in the near term" and work on integrating the BlueStripe technology into OMS and its new Azure Stack.

    Microsoft conducted telephone interviews with 600 customers and the surveys concluded that 60 percent said they were ready to start using a cloud-based management-as-a-service offering like OMS, according to Winter. "That was a big jump from where they were thinking," he admitted.

    Windows Azure Pack Grows into a StackAs noted, the Windows Azure Pack when launched three years ago was aimed at giving Windows Server 2012 the ability to look like the Azure cloud. The Microsoft Azure Stack is a much more ambitious effort, company officials explained at Ignite in that it builds on the new Azure Service Fabric and the forthcoming Windows Server 2016, which the company says will provide more seamless connectivity to the public cloud service.

    Enabling the improved portability is the fact that Windows Server 2016 will support Docker Inc. containers, its own Windows container environment and a corresponding micro-­services architecture. "We think about Azure Stack as the delivery of the Azure innovation, deployable and manageable on-premises," said Ryan O'Hara, Microsoft's director of program management for private cloud solutions. The notion of Azure Stack, which is slated to appear in the next Windows Server 2016 Technical Preview, is that it will provide consistent Infrastructure-as-a-Service (IaaS) and Platform-as-a-Service (PaaS) services on-premises, he added.

    O'Hara emphasized that Azure Stack won't just be an incremental upgrade to the Windows Azure Pack. "Windows Azure Pack is not the full stack implementation of the Azure innovations," he said. "It is a deep effort to replicate a cloud experience, but as you move over to Azure Stack you have a reimplementation of not only the experience, but the underlying services, the management model, as well as the datacenter infrastructure. It really is a rounding out and a completion of what we're learning in Azure in the customer datacenter. From a tenant experience, with Azure Stack, you'll see this based on the new Azure Portal, both GUI experience [and] programmatic experience, allowing you to bring your PowerShell, but also your development tools and developer processes. So you can expect Visual Studio and TFS [Team Foundation Server] to operate seamlessly against Azure Stack as it does against Azure, really just creating a parallel endpoint to deploy your applications."

    While Cloud OS and the Windows Azure Pack had too many holes for the liking of third-party cloud services providers, O'Hara is optimistic the new Azure Stack will appeal to them. "It's a very consistent set of experiences, it allows the single Azure ecosystem to be developed to thrive both in the public cloud [and] in the private cloud landscape. Actually, it's a critical value to the ecosystem, and with one Azure ecosystem, it's something that will yield consumption across many, many clouds."

    Of course, that remains to be seen when Azure Stack appears in the next Windows Server 2016 Technical Preview. But if it works as Microsoft envisions, it could change the way many IT pros and developers look at cloud computing.


    With more providers, security issues in cloud computing rise | killexams.com real questions and Pass4sure dumps

    The security issues in cloud computing are abundant, and they become more so when you engage with more than one provider. Multi-cloud usage is almost a certainty for most organizations, because one cloud provider will offer specific features and pricing that another won't.

    A multi-cloud strategy becomes a challenge because of the specific problems with securing it. With the wrong approach to security, things will only get worse over time because application commitments to the cloud will grow, as will the number of public cloud providers in use.

    There is only one best approach to application deployment and security, and that is to make all hosting resources look and behave the same. Any variations in how you operationalize your deployment and maintenance of applications will complicate the security procedures you adopt. This is because the implementation -- and even the capabilities -- will differ across your hosting options. That’s true for the hybrid cloud, and it’s especially true of a multi-cloud environment. Each cloud provider, and your own data center, has independent hosting frameworks that you'll need to secure. Plus, the workflows that pass among the providers and into your virtual private network (VPN) are part of that security challenge.

    Facing the security issues in cloud computing

    Multi-cloud security technologies must address four kinds of security.

    First, they have to provide access security for the applications and components hosted in any public cloud, no matter which cloud is used and no matter how many applications are moved or spread among public cloud providers.

    Second, security tools need to provide information security for company data hosted in or connected with each multi-cloud provider.

    Third, they must maintain both types of security during redeployment of components when a failure occurs or when components are scaling under load.

    And finally, security technologies need to accommodate new service providers or features as they are added.

    The tool classes

    A multi-cloud user has three classes of tools available to address security issues in cloud computing:

  • public cloud security services and features, which vary by provider;
  • network security and access and forwarding control features; and
  • application security tools built into, or added onto, the applications themselves.
  • Expect to use all of these in a multi-cloud security plan.

    Application security tools are nice for multi-cloud users because they move with the applications. They go to as many different public cloud providers as you use. These tools, however, are often designed to protect only the points where users access the applications. They do not safeguard the places where application components connect with each other. Check your application specifications to see whether there are component-protection features. If not, it’s possible to use an API broker to secure those component interfaces.

    Next, to overcome the security issues in cloud computing, look at tools from service providers. The major public cloud providers have entire sets of web services designed for security and access control, including tools for identity management and security auditing. These tools work best when the public cloud is used as a front end to traditional applications, which means in conjunction with remote and mobile worker features of each cloud provider.

    If your multi-cloud has only a single front-end application provider, or if your front-end providers are grouped by the geographic area they serve, these technologies can be your first line of defense for user-access security.

    Cloud-provider tools are great for user-access control. To secure applications, though, particularly microservices that scale across cloud provider boundaries or are used by multiple applications, you may need to look at API security tools. Microservices typically employ API brokers to control access; these also offer load balancing. Be aware that such tools add overhead to workflows among components. This can be a major issue where there are many application components or microservices, and thus many APIs.

    Securing the components

    Component security is a good place to explore the available network-security and access-control features.

    Application scaling and failover across multi-cloud boundaries is a major security headache. Each time you move or add something, you have to remember to connect it in a secure way.

    A corporate network is a fabric that connects users with applications and supports application and component interconnection across all the hosting options and cloud providers used. Your own fabric is constructed with a VPN, and each of the multi-cloud providers will have its own private address space for the applications you host there. The onramps or external APIs for these applications are translated -- network address translation, Amazon's Elastic IP addresses and so on -- to an address on your VPN.

    Every application has two sets of workflows: the work within the application boundaries and the work that connects outside. The latter are the onramps that you'll see on your VPN, and these should be collected into a series of application subnetworks with blocks of IP addresses. That makes it easier for you to establish forwarding rules or firewall rules to restrict traffic by IP address; one entry will suffice for a whole block of applications.

    Application scaling and failover across multi-cloud boundaries is a major security headache. Each time you move or add something, you have to remember to connect it in a secure way. One general solution to both moving and scaling is to use a load balancer. This tool advertises a single address onto your company VPN, but it can then be connected to any number of instances of an application or component. And, if you move a component around, the load balancer's address doesn't change. Tools like this are available for private cloud, Docker and other application deployment frameworks. And even if you don't scale applications under load, they can help when you move components in a multi-cloud scenario.

    Application security principles are the same, no matter where you host the application. Public cloud computing and multi-cloud use add some dimensions to application security, and those can interfere with traditional techniques for handling security issues in cloud computing, including securing both information and access. The steps you need to take in order to make multi-cloud security work are as well-known as the problems, but the need to apply them and the means of application continue to change as the number of providers expands. The good news is that they know what to do in multi-cloud security. The bad news is that they need to do more of it, and they need to do it better.



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    References :


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